MEDOC: A Fast, Scalable, and Mathematically Exact Algorithm for the Site-Specific Prediction of the Protonation Degree in Large Disordered Proteins حسب Martin J. Fossat (3714079)

الموضوعات: "…mathematically exact algorithm…"

Effect of <i>|Δd</i>_<i>n</i><i>|</i> perturbation on 3D modeling. حسب Giacomo Janson (8138517)

Modular architecture design of PyNoetic showing all its constituent functions. حسب Gursimran Singh (575288)

الموضوعات:

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta حسب Morgan L. Nance (10981871)

"…In this work, we introduce <i>GlycanDock</i>, a residue-centric protein–glycoligand docking refinement algorithm developed within the Rosetta macromolecular modeling and design software suite. …"

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta حسب Morgan L. Nance (10981871)

"…In this work, we introduce <i>GlycanDock</i>, a residue-centric protein–glycoligand docking refinement algorithm developed within the Rosetta macromolecular modeling and design software suite. …"

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta حسب Morgan L. Nance (10981871)

"…In this work, we introduce <i>GlycanDock</i>, a residue-centric protein–glycoligand docking refinement algorithm developed within the Rosetta macromolecular modeling and design software suite. …"

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta حسب Morgan L. Nance (10981871)

"…In this work, we introduce <i>GlycanDock</i>, a residue-centric protein–glycoligand docking refinement algorithm developed within the Rosetta macromolecular modeling and design software suite. …"

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta حسب Morgan L. Nance (10981871)

"…In this work, we introduce <i>GlycanDock</i>, a residue-centric protein–glycoligand docking refinement algorithm developed within the Rosetta macromolecular modeling and design software suite. …"

(a-b) The LASSO algorithm was used for hyperparameter tuning and identification of the important predictive features. حسب Devi Soorya Narayana Sasikumar (22331743)

الموضوعات:

Core genes were selected through PPI analysis based on three algorithms. حسب Dong-Hee Han (140305)

"…<b>(B)</b> The priority of the top 10 genes was evaluated through MNC, which identifies clusters of protein nodes that are more functionally connected to each other and selects the central proteins within the cluster. …"

Functional annotation enrichment for undruggable human disease associated proteins selected by PortalCG. حسب Tian Cai (4227052)

الموضوعات:

Final result UMAP-Gaussian mixture model-monophyletic cluster maximization: Full algorithm UMAP-GMMEM-MCIM results for the OMP phylogeny are shown by color and number. حسب Adrian N. Ortiz-Velez (17775800)

Using ESM-1v as an objective function biases sampling towards RfaHβ-like sequences with lower native sequence recovery. حسب Lu Hong (399882)

الموضوعات:

A Schematic flowchart of the ANN Models. حسب Saksham Phul (12437059)

الموضوعات:

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. حسب Gursimran Singh (575288)

الموضوعات:

Pair Potentials as Machine Learning Features حسب Jun Pei (1765720)

الموضوعات:

Pair Potentials as Machine Learning Features حسب Jun Pei (1765720)

الموضوعات:

Pair Potentials as Machine Learning Features حسب Jun Pei (1765720)

الموضوعات:

Protein-Protein Interaction (PPI) and ceRNA Regulatory Network Analysis. حسب Jie Chu (293795)

الموضوعات:

MCC values reported for three different ANN models. حسب Saksham Phul (12437059)

الموضوعات: